ANI-1
Canonical5papers using it
2022first seen
Cite this dataset Smith, J. S., Zubatyuk, R., Nebgen, B., Lubbers, N., Barros, K., Roitberg, A. E., Isayev, O., and Tretiak, S. ANI-1x. ColabFit, 2023. https://doi.org/10.60732/dd0270c8 This dataset has been curated and formatted for the ColabFit Exchange This dataset is also available on the ColabFit Exchange: https:/
Papers using ANI-1 (5)
- Efficient Transition State Searches by Freezing String Method with Graph Neural Network PotentialsHow Accurate Are DFT Forces? Unexpectedly Large Uncertainties in Molecular DatasetsFrom Molecules to Materials: Pre-training Large Generalizable Models for
Atomic Property PredictionGraph Neural Network Interatomic Potential Ensembles with Calibrated
Aleatoric and Epistemic Uncertainty on Energy and ForcesTransfer learning for chemically accurate interatomic neural network
potentials